Technical Physics Letters
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Volumes and Issues
- 2024
- 2023
- 2022
Discovery of the thermal process model from noisy data
Andreeva T. A.
1, Bykov N. Y.
1,2, Klimova A. K.2, Lukin A. Ya.
1
1Peter the Great Saint-Petersburg Polytechnic University, St. Petersburg, Russia
2ITMO University, St. Petersburg, Russia
2ITMO University, St. Petersburg, Russia
Email: andreeva_ta@spbstu.ru, nbykov2006@yandex.ru, sashkaklimova1997@gmail.com, lukin_aya@spbstu.ru
A modification of the algorithm of the model generative design in the form of a partial differential equation for working with noisy data is proposed. Using the algorithm, the model of the heat and mass transfer process was restored from synthetic and original experimental data on heating the medium by a flooded heat source. The thermophysical parameters of the medium are determined, the possibility of using the algorithm to indicate the convection process based on data on the space-time distribution of temperature is shown. Keywords: generative design method, data-driven model, thermal conductivity equation, convection. DOI: 10.61011/TPL.2023.08.56679.19588
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